Software Engineer II - Java Full Stack Developer

JPMorganChase; Bengaluru; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

JPMorgan Chase in Bengaluru is seeking a Software Engineer II - Java Full Stack Developer with AWS and AI focus to join an agile team delivering secure, scalable software components for the firm’s technology products.

You will design, develop, and troubleshoot multiple components, leveraging AI-assisted tools, AWS cloud-native patterns, and modern front-end tech (React.js/Angular) within a collaborative environment.

Qualifications

• Formal training or certification on software engineering concepts and 2+ years applied experience.
• Hands on Experience in Java, Front End, AWS, AI tools and Platform or Product Development.
• Exposure to tools related to CI/CD, Application Resiliency, and Security.
• Hands-on experience using enterprise-authorized AI-assisted software development tools with ability to evaluate AI outputs.
• Understanding of responsible AI use in engineering workflows, secure handling of data.
• Exposure to microservice architecture.
• Experience in using AI productivity tools like co-pilot, LLM, Claude code.
• Experience in prompt engineering and knowledge of industry trends.
• Emerging knowledge of cloud native solutions (AWS).
• Hands-on experience in system design, development, and testing.
• Ability to work in large, collaborative teams and foster innovation.

Responsibilities

• Applies practical experience of Agile software methodologies.
• Proficiency in one or more programming languages like java or python
• Leverages enterprise-authorized AI coding assist tools to improve code quality, delivery speed, and productivity, while validating outputs through peer review, automated testing, and secure coding standards.
• Applies knowledge of SDLC tools to improve automation value.
• Proficiency in using AI for tech tools in SDLC.
• Experience in frontend technologies like HTML, CSS, JavaScript, and frameworks like React.js, Angular
• Experience building cloud native or cloud ready applications using AWS
• Exposure to Kubernetes
• Executes standard software solutions, design, development, testing, and deployment
• Designs, develops, codes, and troubleshoots with consideration of upstream and downstream systems
• Applies technical skills to break down solutions and solve technical problems.

Skills

Java

Front End

AWS

AI tools

CI/CD

Security

Microservices

AI productivity tools

Prompt engineering

Software design

Education

Bachelor's Degree in computer science engineering or equivalent

Tools

React.js

Angular

Kubernetes

Docker

Job description

Job Description:

You’re ready to gain the skills and experience needed to grow within your role and advance your career — and we have the perfect software engineering opportunity for you.

As a Software Engineer II - Java Full Stack Developer + AWS + AI at JPMorgan Chase within the Commercial & Investment Bank, youll be a part of an agile team that works to enhance, design, and deliver the software components of the firm’s state-of-the-art technology products in a secure, stable, and scalable way. As an emerging member of a software engineering team, you execute software solutions through the design, development, and technical troubleshooting of multiple components within a technical product, application, or system, while gaining the skills and experience needed to grow within your role.

Job responsibilities

• Applies practical experience of Agile software methodologies

• Proficiency in one or more programming languages like java or python

• Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards.

• Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation

• Proficiency in using AI for tech tools(copilot, LLM, calude code etc) for SDLC

• Experience in frontend technologies like HTML, CSS, JavaScript, and frameworks like React.js, Angular

• Experience building cloud native or cloud ready applications using AWS

• Exposure to Container technologies like Kubernetes

• Executes standard software solutions, design, development, testing, and deployment

• Designs, develops, codes, and troubleshoots with consideration of upstream and downstream systems and technical implications

• Applies technical skills to break down solutions and solve technical problems

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 2+ years applied experience

• Hands on Experience in Java, Front End, AWS, AI tools and Platform or Product Development

• Exposure to tools related to CI/CD, Application Resiliency, and Security

• Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, testing, troubleshooting, or documentation) with demonstrated ability to critically evaluate and validate AI-generated outputs.
• Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations.

• Exposure to microservice architecture

• Experience in using AI productivity tools like co-pilot, LLM ,Claude code

• Experience in prompt engineering, proficiency in developmental toolsets and Knowledge of industry-wide technology trends and best practices

• Emerging knowledge of software applications and technical processes within a technical discipline, specifically building out cloud native solutions (AWS).

• Hands-on experience in system design, application development, and testing

• Ability to work in large, collaborative teams to achieve organizational goals and Passionate about building an innovative culture

Preferred qualifications, capabilities, and skills

• Bachelor’s Degree in computer science engineering or equivalent
• Familiarity with modern front-end technologies
• Exposure to cloud technologies